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AI Red Teaming | Offensive Testing for AI Models (HackerOne, 2025)
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HackerOne's AI red teaming service is a commercial offering relevant to practitioners seeking structured adversarial testing of AI systems; useful context for understanding how red teaming is being operationalized in industry beyond academic or government settings.
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Summary
HackerOne offers a structured AI red teaming service that leverages a global community of security researchers to identify vulnerabilities, safety failures, and misuse risks in AI models before deployment. The platform applies offensive security methodologies adapted for AI-specific threat surfaces including jailbreaks, prompt injection, and harmful output generation. It positions adversarial testing as an essential component of responsible AI deployment.
Key Points
- •Applies traditional bug bounty and offensive security expertise to AI-specific vulnerabilities such as prompt injection and jailbreaks.
- •Engages a diverse crowd of security researchers to stress-test AI models at scale across varied attack scenarios.
- •Targets both safety and security dimensions of AI risk, including harmful content generation and model manipulation.
- •Positions pre-deployment adversarial testing as a critical step in responsible AI release practices.
- •Offers structured programs that can feed findings back into model safety improvements and policy compliance.
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AI Red Teaming | Offensive Testing for AI Models | HackerOne
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HackerOne AI Red Teaming
Strengthen AI safety, security, and trust before you ship
Expose exploit paths across prompts, retrieval pipelines, and agent workflows through human-led, agent-driven adversarial testing.
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Key Benefits
How it Works
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Key Benefits
Human-led, agent-driven testing that proves AI system exploitability
HackerOne AI Red Teaming applies adversarial testing across your prompts, models, APIs, and integrations to validate high-impact safety, security, and trust risks under real-world conditions.
Each engagement is tailored to your threat model and delivered by expert researchers and adversarial agents, producing mapped findings and prioritized remediations to help you deploy AI with confidence.
Get the Solution Brief
AI-native researcher community
Engage a vetted global community of AI-specialized red teamers to uncover prompt injection exploit paths, jailbreaks, tool misuse, and unsafe system behavior
Framework-mapped, scenario-driven testing
Map your findings to OWASP LLM Top 10 (2025), OWASP Top 10 for Agentic Applications, MITRE ATLAS, and NIST AI RMF to support governance and compliance.
Agent-driven adversarial testing
Combine human-led testing with adversarial agents that systematically test prompts, retrieval pipelines, and agent workflows to confirm exploit paths with reproducible evidence you can act on.
AI Red Teaming
HackerOne Agentic Prompt Injection Testing
Every AI Red Teaming engagement includes agent-driven testing to validate prompt injection exploitability across retrieval pipelines, tool permissions, and agent workflows. AI agents scale attack paths while human researchers provide judgment and creativity.
The result: provable exploit paths your teams can independently verify, prioritize, and remediate.
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HackerOne AI Red Teaming
Trusted by frontier labs and AI innovators
HackerOne AI Red Teaming
Real-world impact, backed by security and safety teams
Jailbreaks and prompt injection are manifestations of vulnerabilities that are unique to AI systems tha
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